Andrew D. Morris

39.0k total citations
35 papers, 2.3k citations indexed

About

Andrew D. Morris is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Andrew D. Morris has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Genetics. Recurrent topics in Andrew D. Morris's work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers) and Genetic Associations and Epidemiology (7 papers). Andrew D. Morris is often cited by papers focused on Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers) and Genetic Associations and Epidemiology (7 papers). Andrew D. Morris collaborates with scholars based in United Kingdom, Australia and Sweden. Andrew D. Morris's co-authors include Alex S. F. Doney, Ewan R. Pearson, Louise A. Donnelly, Andrew T. Hattersley, Mark I. McCarthy, Graham Leese, Douglas Boyle, Alex D. McMahon, Thomas M. MacDonald and Stephen Greene and has published in prestigious journals such as The Lancet, Circulation and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Andrew D. Morris

35 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew D. Morris United Kingdom 25 1.1k 822 711 577 279 35 2.3k
Massimo Boemi Italy 23 1.1k 1.0× 469 0.6× 417 0.6× 322 0.6× 368 1.3× 71 2.4k
James M. Luther United States 31 1.2k 1.1× 757 0.9× 595 0.8× 163 0.3× 240 0.9× 71 2.7k
Maria Luiza Caramori United States 16 852 0.8× 555 0.7× 368 0.5× 239 0.4× 264 0.9× 32 2.7k
Radica Z. Alicic United States 19 1.3k 1.2× 809 1.0× 511 0.7× 158 0.3× 280 1.0× 48 3.2k
Richard B. Horenstein United States 20 554 0.5× 564 0.7× 581 0.8× 202 0.4× 288 1.0× 27 1.8k
E. Windler Germany 25 1.3k 1.2× 807 1.0× 1.2k 1.6× 335 0.6× 347 1.2× 82 3.1k
Mark Heise United States 13 2.6k 2.4× 2.0k 2.4× 936 1.3× 333 0.6× 346 1.2× 26 3.6k
Xueyao Han China 24 882 0.8× 810 1.0× 399 0.6× 313 0.5× 398 1.4× 126 2.0k
Sandra Pinho Silveiro Brazil 24 965 0.9× 443 0.5× 515 0.7× 242 0.4× 251 0.9× 91 3.0k
Michal Vráblík Czechia 26 501 0.5× 343 0.4× 946 1.3× 206 0.4× 171 0.6× 167 2.0k

Countries citing papers authored by Andrew D. Morris

Since Specialization
Citations

This map shows the geographic impact of Andrew D. Morris's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew D. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Morris more than expected).

Fields of papers citing papers by Andrew D. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Morris. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew D. Morris. The network helps show where Andrew D. Morris may publish in the future.

Co-authorship network of co-authors of Andrew D. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Morris. A scholar is included among the top collaborators of Andrew D. Morris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew D. Morris. Andrew D. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hébert, Harry L., Keith Milburn, Abirami Veluchamy, et al.. (2017). Cohort Profile: Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS). International Journal of Epidemiology. 47(2). 380–381j. 56 indexed citations
2.
Siddiqui, Moneeza K., Abirami Veluchamy, Cyrielle Maroteau, et al.. (2017). CKM Glu83Gly Is Associated With Blunted Creatine Kinase Variation, but Not With Myalgia. Circulation Cardiovascular Genetics. 10(4). 3 indexed citations
3.
Zhou, Kaixin, Louise A. Donnelly, Jian Yang, et al.. (2014). Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis. The Lancet Diabetes & Endocrinology. 2(6). 481–487. 83 indexed citations
4.
Parry, Helen, Louise A. Donnelly, Natalie Van Zuydam, et al.. (2013). Genetic variants predicting left ventricular hypertrophy in a diabetic population: a Go-DARTS study including meta-analysis. Cardiovascular Diabetology. 12(1). 109–109. 13 indexed citations
5.
6.
Evans, Josie, Alex S. F. Doney, Simon Ogston, et al.. (2010). Effect of Metformin on Mortality in Patients With Heart Failure and Type 2 Diabetes Mellitus. The American Journal of Cardiology. 106(7). 1006–1010. 67 indexed citations
7.
8.
Burch, Lindsay, Kaixin Zhou, Louise A. Donnelly, et al.. (2009). A Single Nucleotide Polymorphism on Exon-4 of the Gene EncodingPPARδ Is Associated with Reduced Height in Adults and Children. The Journal of Clinical Endocrinology & Metabolism. 94(7). 2587–2593. 13 indexed citations
9.
Zhou, Kaixin, Louise A. Donnelly, Lindsay Burch, et al.. (2009). Loss-of-Function CYP2C9 Variants Improve Therapeutic Response to Sulfonylureas in Type 2 Diabetes: A Go-DARTS Study. Clinical Pharmacology & Therapeutics. 87(1). 52–56. 105 indexed citations
10.
Donnelly, Louise A., et al.. (2008). Long‐term adherence to statin treatment in diabetes. Diabetic Medicine. 25(7). 850–855. 67 indexed citations
11.
Donnelly, Louise A., et al.. (2008). A paucimorphic variant in the HMG-CoA reductase gene is associated with lipid-lowering response to statin treatment in diabetes: a GoDARTS study. Pharmacogenetics and Genomics. 18(12). 1021–1026. 58 indexed citations
12.
Pearson, Ewan R., Louise A. Donnelly, Charlotte H. Kimber, et al.. (2007). Variation in TCF7L2 Influences Therapeutic Response to Sulfonylureas. Diabetes. 56(8). 2178–2182. 210 indexed citations
13.
Kimber, Charlotte H., Alex S. F. Doney, Ewan R. Pearson, et al.. (2007). TCF7L2 in the Go-DARTS study: evidence for a gene dose effect on both diabetes susceptibility and control of glucose levels. Diabetologia. 50(6). 1186–1191. 61 indexed citations
14.
15.
Donnelly, Louise A., Alex S. F. Doney, Andrew T. Hattersley, Andrew D. Morris, & Ewan R. Pearson. (2005). The effect of obesity on glycaemic response to metformin or sulphonylureas in Type 2 diabetes. Diabetic Medicine. 23(2). 128–133. 66 indexed citations
16.
Doney, Alex S. F., Bettina Fischer, Joanne E. Cecil, et al.. (2004). Association of the Pro12Ala and C1431T variants of PPARG and their haplotypes with susceptibility to Type 2 diabetes. Diabetologia. 47(3). 555–558. 106 indexed citations
17.
Doney, Alex S. F., Bettina Fischer, Joanne E. Cecil, et al.. (2003). Male preponderance in early diagnosed type 2 diabetes is associated with the ARE insertion/deletion polymorphism in the PPP1R3A locus. BMC Genetics. 4(1). 11–11. 14 indexed citations
18.
Petrie, John R., Andrew D. Morris, Shinichiro Ueda, et al.. (2000). Trandolapril Does Not Improve Insulin Sensitivity in Patients with Hypertension and Type 2 Diabetes: A Double-Blind, Placebo-Controlled Crossover Trial1. The Journal of Clinical Endocrinology & Metabolism. 85(5). 1882–1889. 30 indexed citations
19.
Morris, Andrew D., et al.. (1997). THE EUGLYCAEMIC HYPERINSULINAEMIC CLAMP: AN EVALUATION OF CURRENT METHODOLOGY. Clinical and Experimental Pharmacology and Physiology. 24(7). 513–518. 33 indexed citations
20.
Morris, Andrew D., Douglas Boyle, Alex D. McMahon, et al.. (1997). Adherence to insulin treatment, glycaemic control, and ketoacidosis in insulin-dependent diabetes mellitus. The Lancet. 350(9090). 1505–1510. 406 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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